## Recebe apenas a coluna de paises
df_paises <- df_dimensions %>%
# df_paises <- df_dimensions_sample %>%
  dplyr::select(id, research_org_country_names) %>%
  dplyr::filter(research_org_country_names != "")
paises <- df_paises$research_org_country_names
## Separa em uma lista de mais de um elemento quando possui mais de um país
paises_split <- paises %>%
  stringr::str_split(., ';')
## remove todos os caractéres menos letras e números
#list <- lapply(paises, stringr::str_replace_all, ";", "0")
## Apenas valores únicos, para listar todos os países (sem repetição)
unique_values <- unique(rapply(paises_split, function(x) head(x, 30)))

1. Indicadores de Impacto

altimetrics.score - 248763 de 443511 linhas em branco (NA, NULL)

clinical_trial_ids - 430207 de 443511 linhas em branco (NA, NULL ou "")

times_cited - 281 de 443511 linhas em branco (NA, NULL)

1.1. Altimetria

Data summary
Name df_dimensions$altmetrics….
Number of rows 443511
Number of columns 1
_______________________
Column type frequency:
numeric 1
________________________
Group variables None

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
data 248763 0.44 62.57 449.78 1 2 5 17 35478 ▇▁▁▁▁ 
## Warning: Ignoring 248763 observations

1.2. Clinical trials ids

Data summary
Name df_dimensions$clinical_tr…
Number of rows 443511
Number of columns 1
_______________________
Column type frequency:
character 1
________________________
Group variables None

Variable type: character

skim_variable n_missing complete_rate min max empty n_unique whitespace
data 0 1 0 4907 430207 9763 0

1.3. Times cited

Data summary
Name df_dimensions$metrics.tim…
Number of rows 443511
Number of columns 1
_______________________
Column type frequency:
numeric 1
________________________
Group variables None

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
data 281 1 5.06 70.17 0 0 0 1 19868 ▇▁▁▁▁ 
## Warning: Ignoring 281 observations

2. Filtros laterais

Ano - 0 de 443511 linhas em branco (NA, NULL)

País - 136992 de 443511 linhas em branco (NA, NULL ou "") Nesse caso, verifica se existe na linha um ou mais países, ou se a linha está vazia.

Tipo de publicação - 0 de 443511 linhas em branco (NA, NULL). Podem ser do tipo: article, book, chapter, monograph, preprint ou proceeding

2.1. Ano

2.2. Países e publicações

2.3. Tipo de publicação

Data summary
Name df_dimensions$type
Number of rows 443511
Number of columns 1
_______________________
Column type frequency:
character 1
________________________
Group variables None

Variable type: character

skim_variable n_missing complete_rate min max empty n_unique whitespace
data 0 1 4 10 0 6 0

3. Categorias

## Carregando pacotes exigidos: ggplot2
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
## 
##     layout

4. Mapas

## Carregando pacotes exigidos: sp
## rgdal: version: 1.5-23, (SVN revision 1121)
## Geospatial Data Abstraction Library extensions to R successfully loaded
## Loaded GDAL runtime: GDAL 3.0.4, released 2020/01/28
## Path to GDAL shared files: /usr/share/gdal
## GDAL binary built with GEOS: TRUE 
## Loaded PROJ runtime: Rel. 6.3.1, February 10th, 2020, [PJ_VERSION: 631]
## Path to PROJ shared files: /usr/share/proj
## Linking to sp version:1.4-5
## To mute warnings of possible GDAL/OSR exportToProj4() degradation,
## use options("rgdal_show_exportToProj4_warnings"="none") before loading rgdal.

5. Funders

Funders - 381381 de 443511 linhas em branco (NA, NULL)

Data summary
Name df_dimensions$funder_orgs
Number of rows 443511
Number of columns 1
_______________________
Column type frequency:
character 1
________________________
Group variables None

Variable type: character

skim_variable n_missing complete_rate min max empty n_unique whitespace
data 0 1 0 377 381381 17638 0

6. Tipo de publicação

Data summary
Name df_dimensions$type
Number of rows 443511
Number of columns 1
_______________________
Column type frequency:
character 1
________________________
Group variables None

Variable type: character

skim_variable n_missing complete_rate min max empty n_unique whitespace
data 0 1 4 10 0 6 0

7. Mapa de palavras

8. Organizações e funders

##    skim_type              skim_variable n_missing complete_rate character.min
## 1: character                funder_orgs         0     1.0000000             0
## 2: character           raw_affiliations         0     1.0000000             3
## 3: character        research_org_cities         0     1.0000000             0
## 4: character    research_org_city_names         0     1.0000000             0
## 5: character     research_org_countries        17     0.9999617             0
## 6: character research_org_country_names         0     1.0000000             0
## 7: character   research_org_state_codes         0     1.0000000             0
## 8: character   research_org_state_names         0     1.0000000             0
## 9: character              research_orgs         0     1.0000000             0
##    character.max character.empty character.n_unique character.whitespace
## 1:           377          381381              17638                    0
## 2:        183028               0             296018                    0
## 3:          2234          139600             104138                    0
## 4:          2507          139526             118867                    0
## 5:           203          136992              24220                    0
## 6:           580          136992              24165                    0
## 7:           236          332512              14803                    0
## 8:           377          332512              14991                    0
## 9:          3523          166739             139136                    0
## [1] "Temos 0 linhas em branco, na coluna de afiliações dos autores"

9. Autores

10. Citações

## Warning in instance$preRenderHook(instance): It seems your data is too big
## for client-side DataTables. You may consider server-side processing: https://
## rstudio.github.io/DT/server.html

11. Altimetria